000			03409cam a2200517 i 4500
001			9781003435082
003			FlBoTFG
005			20251030122308.0
006			m o d
007			cr cnu|||unuuu
008			240805s2025 flu gob 001 0 eng d
040			_aOCoLC-P _beng _erda _epn _cOCoLC-P
020			_a9781003435082 _q(electronic bk.)
020			_a1003435084 _q(electronic bk.)
020			_z9781032563572
020			_a9781040044391 _q(electronic bk. : PDF)
020			_a1040044395 _q(electronic bk. : PDF)
020			_a9781040044414 _q(electronic bk. : EPUB)
020			_a1040044417 _q(electronic bk. : EPUB)
020			_z9781032563565
024	7		_a10.1201/9781003435082 _2doi
035			_a(OCoLC)1450930019
035			_a(OCoLC-P)1450930019
050		4	_aRA792
072		7	_aMAT _x029000 _2bisacsh
072		7	_aPBT _2bicssc
100	1		_aBlanford, Justine, _eauthor. _996281
245	1	0	_aGeographic information, geospatial technologies and spatial data science for health / _cJustine Blanford.
250			_aFirst edition.
264		1	_aBoca Raton, FL : _bCRC Press, _c2025.
300			_a1 online resource (xiv, 376 pages).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
520			_a"Geographic information and geospatial technologies play an important role in understanding changes in planetary health and the defining the drivers contributing to different health outcomes both locally and globally. Patterns influencing health outcomes and disease in the environment are complex and require an understanding of the ecology of the disease and how these interact in space and time. Knowing where and when diseases are prevalent, who is affected and what may be driving these outcomes are important for determining how to respond. In reality, we all would like to be healthy and live in healthy places. In this book, epidemiology and public health are integrated with spatial data science to examine health issues in dynamically changing environments. This is too broad a field to be completely covered in one book and so it has been necessary to be selective with the topics, methods and examples used to avoid overwhelming introductory readers, while at the same time providing sufficient depth for geospatial experts interested in health, and for health professionals interested in integrating geospatial elements for health analysis. A variety of geographic information (some novel, some volunteered, some authoritative, some big and messy) are used with a mix of methods consisting of spatial analysis, data science, machine learning and spatial statistics to better understand health risks and disease outcomes"-- _cProvided by publisher.
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aMedical geography _xData processing. _996282
650		0	_aMedical informatics _xGeographic information systems. _996283
650		0	_aGeospatial data _xHealth aspects. _996284
650		7	_aMATHEMATICS / Probability & Statistics / General _2bisacsh _963965
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003435082
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942			_cE-Books
999			_c68322 _d68322